Crowd Assisted Networking and Computing

Crowd computing, crowdsourcing, crowd-associated network (CrAN), crowd-assisted sensing are some examples of crowd-based concepts that harness the power of people on the web or connected via web-like infrastructure to do tasks that are often difficult for individual users or computers to do alone. This creates many challenging issues like assessing reliability and correctness of crowd generated information, delivery of data and information via crowd, middleware for supporting crowdsourcing and crowd computing tasks, crowd associated networking and its security, Quality of Information (QoI) issues, etc. This book compiles the latest advances in the relevant fields.

Al-Sakib Khan Pathan received PhD degree in Computer Engineering in 2009 from Kyung Hee University, South Korea and B.Sc. degree in Computer Science and Information Technology from Islamic University of Technology (IUT), Bangladesh in 2003. He is currently an Associate Professor at the Computer Science and Engineering department, Southeast University, Bangladesh. Previously, he was with the Computer Science department at IIUM, Malaysia during 2010-2015 and with the BRAC University, Bangladesh during 2009-2010. He also worked as a Researcher at Networking Lab, Kyung Hee University, South Korea from September 2005 to August 2009 where he completed his MS leading to PhD. His research interests include wireless sensor networks, network security, cloud computing, and e-services technologies. Currently he is also working on some multidisciplinary issues. He is a recipient of several awards/best paper awards and has several notable publications in these areas. He has served as a Chair, Organizing Committee Member, and Technical Program Committee (TPC) member in numerous international conferences/workshops like INFOCOM, GLOBECOM, ICC, LCN, GreenCom, AINA, WCNC, HPCS, ICA3PP, IWCMC, VTC, HPCC, etc. He was awarded the IEEE Outstanding Leadership Award and Certificate of Appreciation for his role in IEEE GreenCom'13 conference. He is currently serving on various editorial positions like Deputy Editor-in-Chief of International Journal of Computers and Applications, Taylor & Francis, Associate Technical Editor of IEEE Communications Magazine, Editor of Ad Hoc and Sensor Wireless Networks, Old City Publishing, and International Journal of Sensor Networks, Inderscience Publishers, Associate Editor of International Journal of Computational Science and Engineering, Inderscience, Area Editor of International Journal of Communication Networks and Information Security, Guest Editor of many special issues of top-ranked journals, and Editor/Author of 15 published books. One of his books has been included twice in Intel Corporation's Recommended Reading List for Developers, 2nd half 2013 and 1st half of 2014; 3 books were included in IEEE Communications Society's (IEEE ComSoc) Best Readings in Communications and Information Systems Security, 2013, 2 other books were indexed with all the titles (chapters) in Elsevier's acclaimed abstract and citation database, Scopus, in February 2015 and a seventh book is translated to simplified Chinese language from English version. Also, 2 of his journal papers and 1 conference paper were included under different categories in IEEE Communications Society's (IEEE ComSoc) Best Readings Topics on Communications and Information Systems Security, 2013. He also serves as a referee of many prestigious journals. He received some awards for his reviewing activities like: one of the most active reviewers of IAJIT three times, in 2012, 2014, and 2015; Elsevier Outstanding Reviewer of Elsevier Computer Networks (July 2015) and Elsevier JNCA (November 2015), just to mention a few. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), USA.

Part 1: Crowdsourcing. 1. Introduction to Crowdsourcing. 2. Quality of Information Issues for Crowdsourcing. 3. Intelligent Algorithms for Crowdsourcing. 4. Social Interaction and Social Network for Crowdsourcing. Part 2: Crowd Computing. 5. Microtasking in Crowd Computing. 6. Automation Issues for Crowd Computing. 7. Harnessing Cloud Computing for Crowd Computing. 8. Machine Learning Issues for Crowd Computing. Part 3: Crowd Associated/Assisted Networking. 9. Applications of Crowd Associated/Assisted Networks. 10. Security and Reliability Issues. Part 4: Novel and Futuristic Applications Assisted by Crowd: 11. Middleware for Crowdsensing. 12. Innovative Application Software for Crowdsourcing.